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Cloud / DevSecOps Engineer – AI-Enabled Cloud Automation

BizTech Fusion
6 hours ago
Full-time
On-site
Dallas, Texas, United States

Cloud / DevSecOps Engineer – AI-Enabled Cloud Automation

Company: BizTech Fusion

Location: 100% Remote (USA)

Experience: 10–12+ Years

Job Type: Contract

About the Role

BizTech Fusion is seeking an experienced Cloud / DevSecOps Engineer – AI-Enabled Cloud Automation for one of our clients. The ideal candidate will have strong expertise in AWS Cloud, DevSecOps, Infrastructure as Code (IaC), CI/CD automation, containerization, Kubernetes, and AI-enabled cloud engineering.

The candidate will be responsible for designing, implementing, securing, and automating cloud infrastructure while ensuring scalable, reliable, and compliant environments that support modern application development.

Required Qualifications

  • 10–12+ years of experience in Cloud Engineering, DevSecOps, Cloud Infrastructure, or related roles.
  • Must be a U.S. Citizen (No Dual Citizenship).
  • Must be eligible to obtain and maintain a Public Trust Clearance.
  • Experience supporting enterprise-scale cloud environments or government/public sector projects.
  • Strong communication, troubleshooting, and problem-solving skills.

Required Technical Skills

  • Strong hands-on experience with AWS Cloud Services, including EC2, Lambda, S3, RDS, API Gateway, SQS, IAM, CloudWatch, CloudFormation, VPC, ECS/EKS.
  • Experience developing and managing Infrastructure as Code (IaC) using Terraform and AWS CloudFormation.
  • Strong knowledge of DevSecOps methodologies, secure software development lifecycle (SSDLC), security automation, vulnerability management, and compliance automation.
  • Experience designing and managing CI/CD pipelines using Jenkins, GitHub Actions, AWS CodePipeline, or similar tools.
  • Hands-on experience with Docker, Kubernetes, and Amazon EKS.
  • Strong scripting experience with Python and Shell/Bash.
  • Experience with Git, GitHub, Agile/Scrum methodologies.
  • Understanding of cloud-native application technologies including Java, Spring Boot, React.js, REST APIs, and Microservices is preferred.

AI-Enabled Cloud Engineering Experience

Candidates must have practical experience using AI-assisted development and automation tools such as:

  • GitHub Copilot
  • Amazon Q
  • ChatGPT
  • Claude
  • Other enterprise-approved AI assistants

Experience leveraging AI tools for:

  • Infrastructure design and architecture planning.
  • Infrastructure as Code generation.
  • CI/CD pipeline development.
  • Security automation.
  • Cloud documentation.
  • Code reviews.
  • Troubleshooting.
  • Automation scripting and operational support.

Candidates should be able to demonstrate how AI tools have improved cloud engineering productivity while maintaining security, quality, and production readiness.

Key Responsibilities

  • Design, build, and maintain secure AWS cloud environments.
  • Develop and manage Infrastructure as Code solutions using Terraform and CloudFormation.
  • Automate cloud provisioning, deployments, and operational processes.
  • Design and maintain CI/CD pipelines for continuous delivery.
  • Implement DevSecOps best practices throughout the software delivery lifecycle.
  • Build and manage containerized environments using Docker and Kubernetes.
  • Implement cloud security controls and compliance standards.
  • Monitor cloud infrastructure performance, availability, and reliability.
  • Configure logging, monitoring, and alerting solutions.
  • Collaborate with development, security, and operations teams.
  • Troubleshoot infrastructure, deployment, and production issues.
  • Create technical documentation and operational runbooks.
  • Support production releases, disaster recovery, and business continuity activities.

Preferred Qualifications

  • Experience with federal government or large enterprise cloud modernization projects.
  • Experience with cloud migration initiatives.
  • Knowledge of Zero Trust Architecture and security frameworks.
  • Experience with AWS Well-Architected Framework.
  • Experience with cloud cost optimization and monitoring tools.
  • Kubernetes administration experience.
  • AWS or DevOps-related certifications are highly desirable.

If you are an experienced Cloud/DevSecOps Engineer with expertise in AWS, automation, Kubernetes, Infrastructure as Code, and AI-enabled cloud engineering, we encourage you to apply and join BizTech Fusion on impactful technology initiatives.